Partially Observed Markov Decision Processes: Filtering, Learning and Controlled Sensing - Couverture rigide

Krishnamurthy, Vikram

 
9781009449434: Partially Observed Markov Decision Processes: Filtering, Learning and Controlled Sensing
Couverture rigide
ISBN 10 : 1009449435 ISBN 13 : 9781009449434
Editeur : Cambridge University Press, 2025

Synopsis

Covering formulation, algorithms and structural results and linking theory to real-world applications in controlled sensing (including social learning, adaptive radars and sequential detection), this book focuses on the conceptual foundations of partially observed Markov decision processes (POMDPs). It emphasizes structural results in stochastic dynamic programming, enabling graduate students and researchers in engineering, operations research, and economics to understand the underlying unifying themes without getting weighed down by mathematical technicalities. In light of major advances in machine learning over the past decade, this edition includes a new Part V on inverse reinforcement learning as well as a new chapter on non-parametric Bayesian inference (for Dirichlet processes and Gaussian processes), variational Bayes and conformal prediction.

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À propos de l?auteur

Vikram Krishnamurthy is Professor of Electrical and Computer Engineering at Cornell University. From 2002 to 2016, he was Professor and Senior Canada Research Chair in Statistical Signal Processing at the University of British Columbia. His research contributions are in statistical signal processing, stochastic optimization and control, with applications in social networks, adaptive radar systems and biological ion channels. He is a Fellow of IEEE and served as Distinguished Lecturer for the IEEE Signal Processing Society and Editor-in-Chief of IEEE Journal of Selected Topics in Signal Processing. He was awarded an honorary doctorate from the Royal Institute of Technology (KTH) Sweden in 2014.

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Éditeur
Cambridge University Press
Date d'édition
2025
Langue
anglais
ISBN 10 
1009449435
ISBN 13 
9781009449434
Reliure
Relié
Numéro d'édition
2
Nombre de pages
651
Coordonnées du fabricant
Cambridge University Press
https://www.cambridge.org/

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